y_sorted = OrderedDict()
y_tags_l = {s: [t.lower() for t in ts] for s, ts in y_tags.items()}
for tag in order:
- logging.info(tag)
+ logging.debug(tag)
for suite, tags in y_tags_l.items():
if "not " in tag:
tag = tag.split(" ")[-1]
try:
y_sorted[suite] = y_vals.pop(suite)
y_tags_l.pop(suite)
- logging.info(suite)
+ logging.debug(suite)
except KeyError as err:
- logging.error("Not found: {0}".format(err))
+ logging.error("Not found: {0}".format(repr(err)))
finally:
break
else:
for i, col in enumerate(df.columns):
name = "{0}. {1}".format(i + 1, col.lower().replace('-ndrpdrdisc', '').
replace('-ndrpdr', ''))
- logging.info(name)
+ logging.debug(name)
traces.append(plgo.Box(x=[str(i + 1) + '.'] * len(df[col]),
y=[y / 1000000 if y else None for y in df[col]],
name=name,
try:
val_max = max(df[col])
except ValueError as err:
- logging.error(err)
+ logging.error(repr(err))
continue
if val_max:
y_max.append(int(val_max / 1000000) + 1)
plot["output-file-type"]))
except PlotlyError as err:
logging.error(" Finished with error: {}".
- format(str(err).replace("\n", " ")))
+ format(repr(err).replace("\n", " ")))
return
for job in data:
for build in job:
for test in build:
+ try:
+ logging.debug("test['latency']: {0}\n".
+ format(test["latency"]))
+ except ValueError as err:
+ logging.warning(repr(err))
if y_tmp_vals.get(test["parent"], None) is None:
y_tmp_vals[test["parent"]] = [
list(), # direction1, min
elif "-ndr" in plot_title.lower():
ttype = "NDR"
else:
+ logging.warning("Invalid test type: {0}".
+ format(test["type"]))
continue
y_tmp_vals[test["parent"]][0].append(
test["latency"][ttype]["direction1"]["min"])
y_tmp_vals[test["parent"]][5].append(
test["latency"][ttype]["direction2"]["max"])
else:
+ logging.warning("Invalid test type: {0}".
+ format(test["type"]))
continue
- except (KeyError, TypeError):
- pass
-
+ except (KeyError, TypeError) as err:
+ logging.warning(repr(err))
+ logging.debug("y_tmp_vals: {0}\n".format(y_tmp_vals))
# Sort the tests
order = plot.get("sort", None)
if order and y_tags:
y_sorted = OrderedDict()
y_tags_l = {s: [t.lower() for t in ts] for s, ts in y_tags.items()}
for tag in order:
- logging.info(tag)
+ logging.debug(tag)
for suite, tags in y_tags_l.items():
if "not " in tag:
tag = tag.split(" ")[-1]
try:
y_sorted[suite] = y_tmp_vals.pop(suite)
y_tags_l.pop(suite)
- logging.info(suite)
+ logging.debug(suite)
except KeyError as err:
- logging.error("Not found: {0}".format(err))
+ logging.error("Not found: {0}".format(repr(err)))
finally:
break
else:
y_sorted = y_tmp_vals
+ logging.debug("y_sorted: {0}\n".format(y_sorted))
x_vals = list()
y_vals = list()
y_mins = list()
y_mins.append(mean(val[3]) if val[3] else None)
y_maxs.append(mean(val[5]) if val[5] else None)
+ logging.debug("x_vals :{0}\n".format(x_vals))
+ logging.debug("y_vals :{0}\n".format(y_vals))
+ logging.debug("y_mins :{0}\n".format(y_mins))
+ logging.debug("y_maxs :{0}\n".format(y_maxs))
traces = list()
annotations = list()
arrayminus = [y_vals[idx] - y_mins[idx], ]
else:
arrayminus = [None, ]
+ logging.debug("y_vals[{1}] :{0}\n".format(y_vals[idx], idx))
+ logging.debug("array :{0}\n".format(array))
+ logging.debug("arrayminus :{0}\n".format(arrayminus))
traces.append(plgo.Scatter(
x=[idx, ],
y=[y_vals[idx], ],